Schema | DarkLens MCP Server

DarkLens MCP Server

Describes the environment variables required to run the server.

Name	Required	Description	Default
No arguments

Guidance the server publishes about itself, which clients place ahead of the tool catalog so the model reads it before choosing anything.

This server publishes no instructions, or was last inspected before Glama recorded them.

Features and capabilities supported by this server

Protocol revision2025-11-25

Capability	Details
`tools`	{ "listChanged": false }
`prompts`	{ "listChanged": false }
`resources`	{ "subscribe": false, "listChanged": false }
`experimental`	{}

Functions exposed to the LLM to take actions

Name	Description
detect_dark_patternsA	Detect dark patterns in UI text, HTML, or URL. Args: input_type: "html", "text", or "url" content: The HTML content, plain text, or URL to analyze Returns: List of detected patterns with pattern_id, pattern_type, confidence, evidence
classify_patternA	Classify a detected dark pattern. Args: pattern_id: The ID of the pattern to classify Returns: Dictionary with category, cognitive_bias, severity
explain_manipulationB	Explain why a pattern is manipulative. Args: pattern_id: The ID of the pattern user_type: Type of user (child, elderly, average user) Returns: Dictionary with explanation, psychological principle, harm potential
risk_scoreA	Assess legal/compliance risk of a pattern. Args: pattern_id: The ID of the pattern region: Geographic region (EU, US, India) Returns: Dictionary with risk score, violated regulations, enforcement likelihood
suggest_ethical_alternativeC	Suggest ethical UI alternatives. Args: pattern_id: The ID of the pattern Returns: Dictionary with rewritten UI copy, redesigned flow, ethical justification
fetch_user_postsB	Fetch posts for a specific user from external API. Args: user_id: The user ID to fetch posts for
analyze_textC	Analyze text and return statistics. Args: text: The text to analyze

Interactive templates invoked by user choice

Name	Description
`audit_website`	Generate a prompt for auditing a website for dark patterns.
`explain_ui_to_user`	Generate a prompt for explaining UI elements to non-technical users.
`compliance_report`	Generate a prompt for creating a UX ethics compliance report.
`rewrite_cta`	Generate a prompt for rewriting manipulative CTAs.
`assess_gdpr_risk`	Generate a prompt for assessing GDPR risk of a pattern.
`summarize_content`	Create a prompt to summarize content. Args: content: The content to summarize max_length: Maximum length of the summary
`analyze_sentiment`	Create a prompt to analyze sentiment of text. Args: text: The text to analyze for sentiment
`generate_code`	Create a prompt to generate code. Args: language: Programming language task: The coding task requirements: Additional requirements
`create_study_plan`	Create a study plan prompt. Args: subject: The subject to study hours_per_week: Hours available per week weeks: Number of weeks for the plan

Contextual data attached and managed by the client

Name	Description
No resources

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curl -X GET 'https://glama.ai/api/mcp/v1/servers/Manavarya09/DarkLens-MCP-Server'

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